Sadi Alawadi

According to our database, Sadi Alawadi authored at least 31 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

FedCSD: A Federated Learning Based Approach for Code-Smell Detection.

Sadi Alawadi, Khalid Alkharabsheh, Fahed Alkhabbas, Victor R. Kebande, Feras M. Awaysheh, Fabio Palomba, Mohammed Awad

IEEE Access, 2024

2023

Selection of human evaluators for design smell detection using dragonfly optimization algorithm: An empirical study.

Sultan M. Al Khatib, Khalid Alkharabsheh, Sadi Alawadi

Inf. Softw. Technol., 2023

Beyond Random Noise: Insights on Anonymization Strategies from a Latent Bandit Study.

Alexander Galozy, Sadi Alawadi, Victor R. Kebande, Slawomir Nowaczyk

CoRR, 2023

Toward efficient resource utilization at edge nodes in federated learning.

Sadi Alawadi, Addi Ait-Mlouk, Salman Toor, Andreas Hellander

CoRR, 2023

FedCSD: A Federated Learning Based Approach for Code-Smell Detection.

Sadi Alawadi, Khalid Alkharabsheh, Fahed Alkhabbas, Victor R. Kebande, Feras M. Awaysheh, Fabio Palomba

CoRR, 2023

FedBot: Enhancing Privacy in Chatbots with Federated Learning.

Addi Ait-Mlouk, Sadi Alawadi, Salman Toor, Andreas Hellander

CoRR, 2023

An Overview of using of Artificial Intelligence in Enhancing Security and Privacy in Mobile Social Networks.

Hussam N. Fakhouri, Sadi Alawadi, Feras M. Awaysheh, Faten Hamad, Sawsan Al-Zubi, Mohammad Aladwan

Proceedings of the Eighth International Conference on Fog and Mobile Edge Computing, 2023

ART4FL: An Agent-Based Architectural Approach for Trustworthy Federated Learning in the IoT.

Fahed Alkhabbas, Sadi Alawadi, Majed Ayyad, Romina Spalazzese, Paul Davidsson

Proceedings of the Eighth International Conference on Fog and Mobile Edge Computing, 2023

Handling Non-IID Data in Federated Learning: An Experimental Evaluation Towards Unified Metrics.

Marc Haller, Christian Lenz, Robin Nachtigall, Feras M. Awaysheh, Sadi Alawadi

Proceedings of the IEEE Intl Conf on Dependable, 2023

2022

Prioritization of god class design smell: A multi-criteria based approach.

Khalid Alkharabsheh, Sadi Alawadi, Karam Ignaim, Nabeel Zanoon, Yania Crespo, M. Esperanza Manso, José Ángel Taboada González

J. King Saud Univ. Comput. Inf. Sci., November, 2022

Security by Design for Big Data Frameworks Over Cloud Computing.

Feras M. Awaysheh, Mohammad Aladwan, Mamoun Alazab, Sadi Alawadi, José Carlos Cabaleiro, Tomás F. Pena

IEEE Trans. Engineering Management, 2022

ASSERT: A Blockchain-Based Architectural Approach for Engineering Secure Self-Adaptive IoT Systems.

Fahed Alkhabbas, Mohammed Alsadi, Sadi Alawadi, Feras M. Awaysheh, Victor R. Kebande, Mahyar Tourchi Moghaddam

Sensors, 2022

A comparison of machine learning algorithms on design smell detection using balanced and imbalanced dataset: A study of God class.

Khalid Alkharabsheh, Sadi Alawadi, Victor R. Kebande, Yania Crespo, Manuel Fernández Delgado, José A. Taboada

Inf. Softw. Technol., 2022

FedQAS: Privacy-aware machine reading comprehension with federated learning.

Addi Ait-Mlouk, Sadi Alawadi, Salman Toor, Andreas Hellander

CoRR, 2022

FLIoDT: A Federated Learning Architecture from Privacy by Design to Privacy by Default over IoT.

Feras M. Awaysheh, Sadi Alawadi, Sawsan Al-Zubi

Proceedings of the Seventh International Conference on Fog and Mobile Edge Computing, 2022

Scalable federated machine learning with FEDn.

Morgan Ekmefjord, Addi Ait-Mlouk, Sadi Alawadi, Mattias Åkesson, Prashant Singh, Ola Spjuth, Salman Toor, Andreas Hellander

Proceedings of the 22nd IEEE International Symposium on Cluster, 2022

2021

A Blockchain-Based Multi-Factor Authentication Model for a Cloud-Enabled Internet of Vehicles.

Victor R. Kebande, Feras M. Awaysheh, Richard Adeyemi Ikuesan, Sadi Alawadi, Mohammad Dahman Alshehri

Sensors, 2021

Digital forensic readiness in operational cloud leveraging ISO/IEC 27043 guidelines on security monitoring.

Sheunesu M. Makura, H. S. Venter, Victor R. Kebande, Nickson M. Karie, Richard Adeyemi Ikuesan, Sadi Alawadi

Secur. Priv., 2021

Digital forensic readiness intelligence crime repository.

Victor R. Kebande, Nickson M. Karie, Kim-Kwang Raymond Choo, Sadi Alawadi

Secur. Priv., 2021

Scalable federated machine learning with FEDn.

Morgan Ekmefjord, Addi Ait-Mlouk, Sadi Alawadi, Mattias Åkesson, Desislava Stoyanova, Ola Spjuth, Salman Toor, Andreas Hellander

CoRR, 2021

Active Machine Learning Adversarial Attack Detection in the User Feedback Process.

Victor R. Kebande, Sadi Alawadi, Feras M. Awaysheh, Jan A. Persson

IEEE Access, 2021

Analysing Agreement Among Different Evaluators in God Class and Feature Envy Detection.

Khalid Alkharabsheh, Sadi Alawadi, Yania Crespo, M. Esperanza Manso, José A. Taboada

IEEE Access, 2021

Towards a Learning-enabled Virtual Sensor Forensic Architecture Compliant with Edge Intelligence.

Victor R. Kebande, Richard Adeyemi Ikuesan, Feras M. Awaysheh, Sadi Alawadi

Proceedings of the Second International Conference on Intelligent Data Science Technologies and Applications, 2021

A Federated Interactive Learning IoT-Based Health Monitoring Platform.

Sadi Alawadi, Victor R. Kebande, Yuji Dong, Joseph Bugeja, Jan A. Persson, Carl Magnus Olsson

Proceedings of the New Trends in Database and Information Systems, 2021

2020

TrustE-VC: Trustworthy Evaluation Framework for Industrial Connected Vehicles in the Cloud.

Mohammad Aladwan, Feras M. Awaysheh, Sadi Alawadi, Mamoun Alazab, Tomás F. Pena, José Carlos Cabaleiro

IEEE Trans. Ind. Informatics, 2020

Leveraging Federated Learning & Blockchain to counter Adversarial Attacks in Incremental Learning.

Victor R. Kebande, Sadi Alawadi, Joseph Bugeja, Jan A. Persson, Carl Magnus Olsson

Proceedings of the IoT '20 Companion: 10th International Conference on the Internet of Things Companion, 2020

Activity recognition and user preference learning for automated configuration of IoT environments.

Fahed Alkhabbas, Sadi Alawadi, Romina Spalazzese, Paul Davidsson

Proceedings of the IoT '20: 10th International Conference on the Internet of Things, 2020

2019

An extensive experimental survey of regression methods.

Manuel Fernández Delgado, Manisha Sanjay Sirsat, Eva Cernadas, Sadi Alawadi, Senén Barro, Manuel Febrero-Bande

Neural Networks, 2019

Polynomial Kernel Discriminant Analysis for 2D visualization of classification problems.

Sadi Alawadi, Manuel Fernández Delgado, David Mera, Senén Barro

Neural Comput. Appl., 2019

Towards Intelligent Personalization of IoT Platforms.

Fabio Paternò, Sadi Alawadi

Proceedings of the Joint Proceedings of the ACM IUI 2019 Workshops co-located with the 24th ACM Conference on Intelligent User Interfaces (ACM IUI 2019), 2019

2017

Comparative Study of Artificial Neural Network Models for Forecasting the Indoor Temperature in Smart Buildings.

Sadi Alawadi, David Mera, Manuel Fernández Delgado, José A. Taboada

Proceedings of the Smart Cities - Second International Conference, Smart-CT 2017, Málaga, 2017